Transforming US Intelligence for Irregular War Task Force 714 in Iraq


Free Download Richard H. Shultz Jr., "Transforming US for Irregular War: Task Force 714 in Iraq"
English | ISBN: 1626167648 | | 296 pages | | 3 MB
When Joint Special Operations Command deployed Task Force 714 to Iraq in 2003, it faced an adversary unlike any it had previously encountered: al-Qaeda in Iraq (AQI). AQI's organization into multiple, independent networks and its application of Information Age technologies allowed it to wage war across a vast landscape. To meet this unique threat, TF 714 developed the intelligence capacity to operate inside those networks, and in the words of commander Gen. Stanley McChrystal, USA (Ret.) "claw the guts out of AQI."
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Microsoft Excel in the Age of Artificial Intelligence (Artificial Intelligence's Books Series Book 11)


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English | 2025 | ASIN: B0F4NB5S7D | 48 pages | | 1.53 MB
Microsoft Excel in the Age of Artificial Intelligence is a guide tailored for medical educators, researchers, and healthcare professionals the evolving landscape. Aligned with the National Medical Commission's new curriculum, this book empowers readers to Excel's powerful data analysis tools alongside AI integrations. Learn to manage clinical data, perform statistical analysis, create dashboards, and understand AI-powered add-ins-all within Excel's familiar interface. With real-world healthcare examples and step-by-step instructions, this book bridges the gap between traditional data handling and future-ready digital competency, making it an essential resource for the -century medical professional.
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Computational Intelligence in Machine Learning


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English | 2025 | ISBN: 9819643902 | 578 Pages | (True) | 28 MB
This book features selected proceedings from the International on Computational Intelligence in Machine Learning (ICCIML 2023). It covers the latest research trends and developments in various fields, including machine learning, smart cities, the Internet of Things (IoT), intelligence, cyber- systems, cybernetics, science, neural networks, and cognition, among others. The book also emphasizes the nature of computational intelligence, artificial intelligence, machine learning, and deep learning by highlighting their roles in modeling, identification, , prediction, forecasting, and controlling future systems. This volume serves as a valuable resource for researchers in both academia and industry, offering in-depth insights from fundamental research contributions. It focuses on methodological and application , enhancing the understanding of AI and ML approaches and their capabilities in addressing a diverse range of problems across various industries and real-world applications.
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Artificial Intelligence in Neurological Disorders


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English | 2025 | ISBN: 1394347502 | 254 Pages | (True) | 4 MB
Embark on a groundbreaking exploration of the intersection between cutting-edge technology and the intricate complexities of neurological disorders. Artificial Intelligence in Neurological Disorders: Management, Diagnosis and Treatment comprehensively introduces how artificial intelligence is becoming a vital ally in neurology, offering unprecedented advancements in management, diagnosis, and treatment. As the age converges with medical expertise, this book unveils a roadmap for leveraging artificial intelligence to revolutionize neurological healthcare. Delve into the core principles that underpin AI applications in the by exploring intricate algorithms that enhance the precision of diagnosis and how machine learning not only refines the understanding of neurological disorders but also paves the way for personalized treatment strategies tailored to individual patient needs. With compelling case studies and real-world examples, the realms of and artificial intelligence converge, illustrating the symbiotic relationship that holds the promise of transforming patient care.
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Next-Generation Artificial Intelligence Driven Smart and Renewable Energy


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English | 2025 | ISBN: 1032761563 | 214 Pages | (True) | 17 MB
To provide for a sustainable future, the potential synergies at the dynamic intersection of renewable energy (RE) incorporated with smart energy and artificial intelligence (AI) must be exploited. RE is crucial to preserve the environment. Energy involving various systems must be optimized and assessed to provide better performance. However, the design and of RE systems remains a challenge. Advanced optimization techniques, AI, and machine learning (ML) plays a crucial role in implementing the latest research in the of renewable energy-integrated electrical systems. This book also describes the encountered, and the solutions and future scope to be adopted. Applications of a variety of advanced optimization and AI techniques in the design and development of RE-integrated systems are discussed to provide new solutions in the RE domain.
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